{"id":"W2155895485","doi":"10.1634/theoncologist.2013-0159","title":"Screening for Lung Cancer With Low-Dose Computed Tomography","year":2013,"lang":"en","type":"article","venue":"The Oncologist","topic":"Lung Cancer Diagnosis and Treatment","field":"Medicine","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Public Health Ontario; University of Toronto","funders":"","keywords":"Medicine; National Lung Screening Trial; Lung cancer screening; Lung cancer; Computed tomography; Radiology; Cancer; Lung; Oncology; Internal medicine","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00008525566,0.0001209129,0.0002187335,0.0000326391,0.0001391578,0.00002948262,0.00008929327,0.00004133416,0.0001663968],"category_scores_gemma":[0.000008189901,0.00005878447,0.00008346465,0.000152077,0.0001373525,0.00004014989,0.00002517367,0.00008141441,0.000006190966],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001579274,"about_ca_system_score_gemma":0.00008616939,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001584818,"about_ca_topic_score_gemma":0.0003389975,"domain_scores_codex":[0.9993353,0.00001892279,0.0001172869,0.0001821764,0.0001199013,0.0002263459],"domain_scores_gemma":[0.9993523,0.0001616116,0.00007136996,0.0002350298,0.0001006477,0.00007903791],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001226059,0.001125116,0.6844034,0.0004440332,0.001842003,0.00004561453,0.0005968281,0.0008964047,0.0003124195,0.0008334826,0.2163978,0.09187688],"study_design_scores_gemma":[0.01148867,0.002723853,0.9531607,0.0009394508,0.001222129,0.00003283362,0.0002970708,0.01178181,0.001874582,0.0001091979,0.01604706,0.0003226373],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9417093,0.003970754,0.004464428,0.03838436,0.0003782595,0.005579833,0.0000451903,0.0002357391,0.005232145],"genre_scores_gemma":[0.9904953,0.00007921948,0.004644688,0.002159928,0.0002533697,0.001795069,0.00002161019,0.00001932112,0.0005314967],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2687573,"threshold_uncertainty_score":0.2397161,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02275131813155115,"score_gpt":0.3275069069583498,"score_spread":0.3047555888267986,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}